LocalDipoleMeanFlux¶

class lsst.pipe.tasks.functors.LocalDipoleMeanFlux(instFluxPosCol, instFluxNegCol, instFluxPosErrCol, instFluxNegErrCol, photoCalibCol, photoCalibErrCol, **kwargs)¶

Bases: LocalPhotometry

Compute absolute mean of dipole fluxes.

See also

LocalNanojansky
LocalNanojanskyErr
LocalDipoleMeanFluxErr
LocalDipoleDiffFlux
LocalDipoleDiffFluxErr

Attributes Summary

`columns`	Columns required to perform calculation.
`logNJanskyToAB`
`name`	Full name of functor (suitable for figure labels).
`noDup`	Do not explode by band if used on object table.
`shortname`	Short name of functor (suitable for column name/dict key).

Methods Summary

`__call__`(data[, dropna])	Call self as a function.
`difference`(data1, data2, **kwargs)	Computes difference between functor called on two different DataFrame/Handle objects.
`fail`(df)
`instFluxErrToMagnitudeErr`(instFlux, ...)	Convert instrument flux err to nanojanskys.
`instFluxErrToNanojanskyErr`(instFlux, ...)	Convert instrument flux to nanojanskys.
`instFluxToMagnitude`(instFlux, localCalib)	Convert instrument flux to nanojanskys.
`instFluxToNanojansky`(instFlux, localCalib)	Convert instrument flux to nanojanskys.
`multilevelColumns`(data[, columnIndex, ...])	Returns columns needed by functor from multilevel dataset.

Attributes Documentation

columns¶

logNJanskyToAB = 31.4¶

name¶

noDup¶: Do not explode by band if used on object table.

shortname¶: Short name of functor (suitable for column name/dict key).

Methods Documentation

__call__(data, dropna=False)¶: Call self as a function.

difference(data1, data2, **kwargs)¶: Computes difference between functor called on two different DataFrame/Handle objects.

fail(df)¶

instFluxErrToMagnitudeErr(instFlux, instFluxErr, localCalib, localCalibErr)¶

Convert instrument flux err to nanojanskys.

Parameters:

instFluxndarray or Series: Array of instrument flux measurements.
instFluxErrndarray or Series: Errors on associated instFlux values.
localCalibndarray or Series: Array of local photometric calibration estimates.
localCalibErrndarray or Series: Errors on associated localCalib values.

Returns:

calibMagErr: ndarray or Series: Error on calibrated AB magnitudes.

instFluxErrToNanojanskyErr(instFlux, instFluxErr, localCalib, localCalibErr)¶

Convert instrument flux to nanojanskys.

Parameters:

instFluxndarray or Series: Array of instrument flux measurements.
instFluxErrndarray or Series: Errors on associated instFlux values.
localCalibndarray or Series: Array of local photometric calibration estimates.
localCalibErrndarray or Series: Errors on associated localCalib values.

Returns:

calibFluxErrndarray or Series: Errors on calibrated flux measurements.

instFluxToMagnitude(instFlux, localCalib)¶

Convert instrument flux to nanojanskys.

Parameters:

instFluxndarray or Series: Array of instrument flux measurements.
localCalibndarray or Series: Array of local photometric calibration estimates.

Returns:

calibMagndarray or Series: Array of calibrated AB magnitudes.

instFluxToNanojansky(instFlux, localCalib)¶

Convert instrument flux to nanojanskys.

Parameters:

instFluxndarray or Series: Array of instrument flux measurements.
localCalibndarray or Series: Array of local photometric calibration estimates.

Returns:

calibFluxndarray or Series: Array of calibrated flux measurements.

multilevelColumns(data, columnIndex=None, returnTuple=False)¶

Returns columns needed by functor from multilevel dataset.

To access tables with multilevel column structure, the DeferredDatasetHandle or InMemoryDatasetHandle needs to be passed either a list of tuples or a dictionary.

Parameters:

datavarious: The data as either DeferredDatasetHandle, or InMemoryDatasetHandle.
columnIndex (optional): pandas `~pandas.Index` object: Either passed or read in from DeferredDatasetHandle.
`returnTuple`bool: If true, then return a list of tuples rather than the column dictionary specification. This is set to True by CompositeFunctor in order to be able to combine columns from the various component functors.

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LocalDipoleMeanFlux¶